Fall 2015 - CSCI 5702/7702 - Class #37654/37691
Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Such (big) data is often stored in data stores such as file systems, databases, data warehouses, and data marts, to be “mined”, i.e., to derive the knowledge that enables discovery and improves decision making. The discipline of “data mining” is a rapidly growing field that has evolved from the disciplines of databases, statistics, and machine learning, and is concerned with developing knowledge discovery techniques to assist in extracting useful information from data. Numerous successful applications of data mining have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments.
As an introductory course on data mining, this course introduces the concepts, algorithms, techniques, and systems of data warehousing and data mining. The course will serve both MS and PhD computer science students interested in the field. Also, this course may attract students from other disciplines who need to understand, develop, and data mining tools to analyze data.
Time and Location:
Tue-Thu 12:30pm-1:45pm, NC 3207
Name: Farnoush Banaei-Kashani
Office: Lawrence Street Center (LSC) - Room #810
Tue-Thu 10:30am-12:00pm & Thu 2:00pm-3:30pm (by prior appointment only)
Name: Shahab Helmi
Office: Lawrence Street Center (LSC) - Room #824
Tue 2:30pm-3:30pm & Fri 3:30pm-5:00pm (by prior appointment only)
Title: Data Mining Concepts and Techniques, 3rd Edition
Authors:Jiawei Han, Micheline Kamber, and Jian Pei
Description: ©2011 / Morgan Kaufmann / Hardcover / 744 pages
Publication Date: July 2011
Available at Auraria Campus Bookstore.
Available through Canvas.